Biological and Chemical Oceanography Data Management Office 

The Biological and Chemical Oceanography Data Management Office (BCO-DMO), located at the Woods Hole Oceanographic Institution, curates a database of research-ready data spanning the full range of marine ecosystem-related measurements including in-situ and remotely-sensed observations, experimental and model results, and synthesis products. 

BCO-DMO’s data stewardship philosophy encompasses all phases of the data life cycle from “proposal to preservation”. Their view of the data life cycle includes the following eight steps: science proposal writing; data acquisition; analysis and synthesis; data contribution; discovery and access; data use and reuse; publication; and preservation.  

GO FAIR US 

GO FAIR is a bottom-up, stakeholder-driven and self-governed initiative that aims to implement the FAIR data principles, making data Findable, Accessible, Interoperable and Reusable (FAIR). It offers an open and inclusive ecosystem for individuals, institutions and organizations working together through Implementation Networks (INs). INs are active in three activity pillars: GO Build (Technology), GO Change (Culture), and GO Train (Training).  

Their aim is to connect FAIR stakeholders and foster a community where FAIR approaches can be shared, discussed, and advanced collaboratively. With GO FAIR US, the United States joins the Netherlands, France, Germany, and Brazil in establishing country-level coordinating offices.   

UT-ORII

Aligning the expertise and infrastructure of the University of Tennessee and Oak Ridge National Laboratory, the UT-Oak Ridge Innovation Institute is a hub for world-class discovery and innovation, interdisciplinary graduate education, and talent development.  

The UT-Oak Ridge Innovation Institute addresses emerging, top-tier industry and workforce needs. The institute develops locally relevant and globally competitive scientists and engineers. Students will be prepared by teaching innovation and interdisciplinary problem-solving skills.  

Australian Ocean Data Network  

The Australian Ocean Data Network (AODN) is an interoperable online network of marine and climate data resources. The AODN was formed through a collaboration between six Australian Commonwealth Agencies with primary responsibility for marine data. Since its inception, the AODN has grown to encompass organizations and individual members of the Australian, New Zealand, and Pacific marine research community.  

The marine data collections are made freely available to the public. Data covers a wide range of parameters in different ocean environments collected from ocean-going ships, autonomous vehicles, moorings, and other platforms. The scope of observations, geographically spanning ocean to coast, and across disciplines (physical, biogeochemical, biological), provides a challenge to deliver an intuitive easy-to-use robust information infrastructure enabling users to efficiently obtain the data they need.   

Dr. Claire Rye Joins the World Data System Early Career Researchers Network as Co-Chair

FOR IMMEDIATE RELEASE

A smiling woman with dark hair, Dr. Claire Rye, of New Zealand eScience Infrastructure and co-chair of World Data System Early Career Researchers Network

Dr. Claire Rye Appointed as Co-Chair for the World Data System Early Career Researchers Network

OAK RIDGE, TN, USA – 1 September 2023 – The World Data System’s International Program Office (WDS-IPO) is delighted to announce the appointment of Dr. Claire Rye as the new Co-Chair for the World Data System Early Career Researchers Network (WDS-ECR Network), joining Dr. Lianchong Zhang and Dr. Maja Dolinar, the current Co-Chairs. With a Ph.D. in organic chemistry and extensive experience in research data management, Dr. Rye brings a wealth of knowledge and skills to support the WDS-ECR Network’s vision and goals.

Dr. Rye is a Product Manager at New Zealand eScience Infrastructure (NeSI) based out of the University of Auckland. She is responsible for the National Data Transfer Service and works across the Aotearoa Genomics Data Repository and Rakeiora Pathfinder projects, looking at research data management and data lifecycle across NeSI.

Dr. Rye’s interest in open science, balanced with CARE principles (Collective benefit, Authority to control, Responsibility, Ethics) and Indigenous Data Sovereignty, and passion for data stewardship and metadata aligns perfectly with the WDS-ECR Network’s mission to foster a community of early career researchers who are interested in data-related topics and challenges. Moreover, Dr. Rye’s expertise in working with diverse stakeholders and developing practical approaches for data cultures, practices, and infrastructures will enhance her ability to collaborate within the global research community.

Dr. Maja Dolinar and Dr. Lianchong Zhang congratulate Dr. Rye on her appointment and express their confidence in her exceptional qualifications. Her appointment signifies the WDS-ECR Network’s dedication to advancing open science and empowering early career researchers with opportunities for networking, learning, and professional development.

“I am honored to join the WDS-ECR Network as a Co-Chair,” says Dr. Claire Rye. “Together with Dr. Lianchong Zhang and Dr. Maja Dolinar and the WDS team, we will continue to build a vibrant and inclusive network that supports early career researchers in their data-related endeavors.”

About the World Data System Early Career Researchers Network (WDS-ECR Network)

The World Data System Early Career Researchers Network is an initiative by the World Data System that aims to create a platform for early career researchers to exchange ideas, share experiences, and collaborate on data-related topics and challenges. The WDS-ECR Network organizes various activities such as webinars, workshops, mentoring programs, and social events to foster a sense of community and belonging among its members.

For more information about the WDS-ECR Network, please visit www.worlddatasystem.org/early-career-researchers-network.

Media Contact: Vinnie Bernabeo, Communications Specialist vbernabe@utk.edu